1 to 25 of 163 Permanent Computer Vision Jobs

Job Title: Computer Vision Engineer About us: VisionTrack is a multiple award winning IOT, high throughout/big data insurance telematics & video solution. Role: We are looking for developers with experience in computer vision applications to join one of our agile development teams. We try to avoid silos of knowledge so the role will involve working … in all areas of the solution but with more emphasis on computer vision applications deployed on our Autonomise cloud platform. We are looking for someone who can fit into this way of working, so knowledge in Agile/DevOps working practices, including SCRUM, Continuous Integration & Continuous Delivery and someone who can follow and promote best practices in these … areas is essential. Essential Skills: Proficient in Python programming (2+ years' experience) Previous experience in the development and use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications Previous development and fast prototyping experience in at one of following specializations of computer vision or machine learning: Object/face/pedestrian detectin and More ❯

Save job . I am working with a pioneering research organisation at the cutting edge of artificial intelligence and computer vision, who are looking to appoint a highly skilled Computer Vision Engineer. This role offers an exciting opportunity to join a forward-thinking team that is driving innovation in real-world AI applications through advanced research … and development. This is a chance to make a significant contribution to projects that push the boundaries of what's possible in computer vision - while enjoying a highly competitive package. As a Computer Vision Engineer, you will play a central role in developing and deploying systems that achieve state-of-the-art accuracy in detection, segmentation … environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events. You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for … image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systemsCurate and preprocess data to maximize training effectivenessDeploy models into production environments and monitor their performanceCollaborate closely with engineers, data More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events. You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for … image and video analysis Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads) Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systems Curate and preprocess data to maximize training effectiveness Deploy models into production environments and monitor their performance Collaborate More ❯

cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud) are looking for Computer Vision specialist with excellent C++ skills. They are searching for motivated, driven and proactive individuals, who will develop and innovate. They are looking for someone who will be … for developing their data creation and collection technology . The role will provide you will a high level of autonomy and project ownership. What you will do as a Computer Vision Engineer (C++) Develop and maintain real-time ball and player tracking software specifically for providing data to third parties Develop C++ applications for visualising and analysing tracking … data for coaching and broadcast purposes Design intuitive and easy to use user interfaces They are looking for: Required attributes: Bachelor's or Master's degree in Computer Science, Engineering, or related field Experience programming in C++ Understanding of 3D Linear Algebra for Computer Vision Proficient using Git version control Strong problem-solving abilities and communication skills More ❯

LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results. Key job responsibilities As a Senior Applied Scientist, you will be responsible to design and deploy … scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution … BASIC QUALIFICATIONS - 1. 2+ years of relevant applied science research experience with PhD or 5+ years of experience of applied research experience with a Masters' degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields. - 2. Should be an expert in either More ❯

efforts to reduce errors, and optimize team performance, will require having critical skills and knowledge. This role is central to delivering high-quality, high-volume training datasets tailored for computer vision and geospatial intelligence (GEOINT) applications. Supervises between 100-130 data annotation specialists , coordinating production activities across structured pods that include analysts, data specialists, QC engineers, trainers, and … job design , production management , quality control , and dataset delivery , while ensuring continuous alignment with customer goals and national security priorities. Required Qualifications: Bachelor's degree in geographic information science, computer vision, remote sensing, computer science or related fields. An associate's degree with a relevant GIS certification or 10+ years military imagery intelligence or 10+ years military … Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret clearance with eligibility for TS/SCI Desired Qualifications: Masters's degree in geographic information science, computer vision, remote sensing, computer science or related fields. A bachelor's degree with a relevant GIS or GEOINT Professional certification or 20+ years military imagery intelligence or More ❯

efforts to reduce errors, and optimize team performance, will require having critical skills and knowledge. This role is central to delivering high-quality, high-volume training datasets tailored for computer vision and geospatial intelligence (GEOINT) applications. Supervises between 100-130 data annotation specialists , coordinating production activities across structured pods that include analysts, data specialists, QC engineers, trainers, and … job design , production management , quality control , and dataset delivery , while ensuring continuous alignment with customer goals and national security priorities. Required Qualifications: Bachelor's degree in geographic information science, computer vision, remote sensing, computer science or related fields. An associate's degree with a relevant GIS certification or 10+ years military imagery intelligence or 10+ years military … Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret clearance with eligibility for TS/SCI Desired Qualifications: Masters's degree in geographic information science, computer vision, remote sensing, computer science or related fields. A bachelor's degree with a relevant GIS or GEOINT Professional certification or 20+ years military imagery intelligence or More ❯

Salary: Up to £75 p/h Our client, a globally recognised technology leader , is seeking a Machine Learning Engineer with a strong research background to drive advancements in computer vision, generative AI, and deep learning. The organisation is renowned for its cutting-edge innovation, large-scale research investments, and products that impact millions of users worldwide. This … role offers the chance to be part of a pioneering R&D team shaping the future of AI. Requirements PhD (or current PhD student) in ML/AI/Computer Vision. Exceptional Master's candidates with extensive research experience will also be considered. Strong foundations in Machine Learning, Computer Vision, and Deep Learning Proficiency in PyTorch and … Python First-author publications in top-tier conferences/journals (ICML, NeurIPS, ICLR, CVPR, ECCV, AAAI, IEEE TPAMI, or similar) Preferred Experience (in at least one area) Generative AI (computer vision and/or language processing) Foundation Models (computer vision and/or language processing) Parameter-Efficient Fine-Tuning Data/Model Privacy Model Optimization for More ❯

cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud) are looking for Computer Vision Specialist with excellent C++ skills. They are searching for motivated, driven and proactive individuals, who will develop and innovate. Theyare looking for someone who will be responsible … for developing theirdata creation and collection technology . The role will provide you will a high level of autonomy and project ownership. What you will do as aComputer Vision Engineer (C++) Develop and maintain real-time ball and player tracking software specifically for providing data to third parties Develop C++ applications for visualising and analysing tracking data for coaching … and broadcast purposes Design intuitive and easy to use user interfaces They are looking for: Required attributes: Bachelor's or Master's degree in Computer Science, Engineering, or related field Experience programming in C++ Understanding of 3D Linear Algebra for Computer Vision Proficient using Git version control Strong problem-solving abilities and communication skills Desirable skills: Experience More ❯

universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with … particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal … and monitoring of deployed models. Requirements 6+ years in data science/ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling More ❯

universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with … particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal … and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling More ❯

universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with … particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal … and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling More ❯

models for inference on embedded systems. Last but not least, you will communicate performance metrics and evaluation results to key stakeholders. WHAT YOU OFFER M.Sc. or Ph.D. degree in Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real … hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state-of-the-art architectures experience with computer vision algorithms excellent communication skills and ability to explain solutions to complex technical problems clearly and concisely ideally experienced with C++, depth cameras and sensor data, time series More ❯

on building and integrating artificial intelligence solutions within web applications. The candidate must have hands-on experience in developing intelligent features, leveraging machine learning models, natural language processing (NLP), computer vision, or other AI technologies to enhance user experience, automate processes, and drive business value in web-based platforms. Key Responsibilities: Design, develop, and deploy AI-driven features … sharing. Work closely with cross-functional teams, including product managers, designers, and data engineers, to deliver impactful solutions. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. Strong programming skills in Python (preferred), JavaScript, or Java. Experience with ML/DL frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity … with web technologies: REST APIs, HTML/CSS, JavaScript frameworks (React, Angular, etc.). Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of NLP, computer vision, or recommendation systems is a plus. Excellent problem-solving and communication skills. Proven experience as an AI Developer, Machine Learning Engineer, or similar role focused on web More ❯

operations. You'll leverage technologies such as process mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing … enhance efficiency across departments. You'll treat internal teams as valued clients, designing solutions that automate workflows and empower colleagues to work more effectively. This strategic role bridges product vision and technical implementation. You'll collaborate with subject matter experts to identify high-impact opportunities, design appropriate and scalable AI architectures, and work with engineering teams to bring these … Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing) for enterprise environments Knowledge of advanced AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex More ❯

and optimize AI-assisted segmentation models for EO/SAR imagery. Other duties as assigned. Required Qualifications: Bachelor's degree in related fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence, and 5 - 8 years of experience in quality control programs -or- HS Diploma or equivalent and 10+ years cumulative experience in Geospatial Analysis, Geospatial Engineering … and bias mitigation strategies in AI-based annotation. US Citizenship Active Secret clearance Desired Qualifications: Master's degree in degree in related fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence and 15+ years of experience in Geospatial Engineering or GEOINT Operations -or- Bachelor's degree in previously mentioned degrees and 10+ years' experience in Geospatial More ❯

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovation. You will … be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists … globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await! Key job responsibilities * Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications. * Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development More ❯

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovations. You will … be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists … in shaping the future of AI innovation at Ring and Blink, where exciting challenges await! Key job responsibilities Key job responsibilities - Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development More ❯

Senior Data Scientist will lead this drive to build our AI capabilities and translate this into products we can commercialise. Key responsibilities include: Contributing to the long-term product vision Build a technology roadmap for AI that allows us to deliver this vision Building computer vision algorithms for tasks such as object detection, image segmentation, and … and Tensorflow Two years of experience in object detection models, including but not limited to YOLO, Faster R-CNN, and VIT Experience in training, fine-tuning, quantisation, and deploying computer vision models in production Apply data augmentation, transfer learning, and hyperparameter tuning to optimise model performance on complex datasets Expertise in implementing hybrid search and retrieval-augmented generation … prompt engineering and fine-tuning. Deployment and Cloud-based services - AWS, GCP, Docker, Linux Experience deploying ML models to edge devices with necessary optimisations Additional requirements: Advanced degree in Computer Science, Statistics, Data Science or equivalent Experience building and commercialising ML models Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing More ❯

models for inference on embedded systems. Last but not least, you will communicate performance metrics and evaluation results to key stakeholders. WHAT YOU OFFER M.Sc. or Ph.D. degree in Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real … hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state-of-the-art architectures experience with computer vision algorithms excellent communication skills and ability to explain solutions to complex technical problems clearly and concisely ideally experienced with C++, depth cameras and sensor data, time series More ❯

models for inference on embedded systems. Last but not least, you will communicate performance metrics and evaluation results to key stakeholders. WHAT YOU OFFER M.Sc. or Ph.D. degree in Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real … hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state-of-the-art architectures experience with computer vision algorithms excellent communication skills and ability to explain solutions to complex technical problems clearly and concisely ideally experienced with C++, depth cameras and sensor data, time series More ❯

models for inference on embedded systems. Last but not least, you will communicate performance metrics and evaluation results to key stakeholders. WHAT YOU OFFER M.Sc. or Ph.D. degree in Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real … hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state-of-the-art architectures experience with computer vision algorithms excellent communication skills and ability to explain solutions to complex technical problems clearly and concisely ideally experienced with C++, depth cameras and sensor data, time series More ❯

data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as … satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap. WHAT YOU'LL NEED TO SUCCEED: • Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. • Experience: 5+ years Technical skills: • Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation … and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery. • Demonstrated professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines. • Demonstrated professional or academic experience using Python to query and retrieve imagery from S3 compliant API's perform More ❯

complete lifecycle from conception to production, whether through leading teams or through subject matter expertise. Occasional local telecommuting is permitted. Requirements: Master's degree or foreign equivalent in Robotics, Computer Science, Electrical Engineering, Computer Engineering, Aerospace Engineering, or related field. Five years of experience in robotics or autonomous flight domains. Experience must include: (i) expertise or specialization in … one of the following robotics subject areas: sensing (particularly using lidar, camera (visual band and infrared), radar, and ranging radio); sensor fusion; perception, including computer vision; motion planning; control systems; state estimation, localization, and navigation; systems engineering; and/or system integration and field testing; (ii) C++ and Python design and programming; (iii) OpenCV and neural network-based … computer vision algorithms; (iv) point cloud processing; (v) leading teams and/or mentoring engineers; and (vi) leading technical development on a project within schedule and budget constraints. Must have knowledge of (i) rotorcraft flight control systems and flight theory; (ii) state estimation filters, including Kalman and particle filters; (iii) decision-making tools for autonomy, including state machines More ❯